Meeting times and locations

Course objectives

1. Obtain, process, and use various agricultural geospatial data layers for decision making related to precision agriculture.

Course objectives

2. Data types include publicly available (weather, soils, and satellite remote sensing), and private data like yield monitor, soil, and UAV remote sensing).

Course objectives

3. Analytical techniques include creation of management zones, zone-based and imagery-based variable rate prescription, profitability maps, and use of satellite remote sensing for crop scouting.

Course objectives

4. All steps will be conducted utilizing the R statistical language to create modern, well documented and reproducible precision agriculture analytical workflows. No previous knowledge in R is required.

Course objectives

For example, from raw yield data to management zone creation

Course topics

All classes will be recorded and further posted on the class YouTube channel.

This should be used as a supporting study tool and make-up for content from missed classes. Recordings do not replace in-person/remote attendance.

Assessment and Grading

Course website

Important links related to this course:

• Course website
  
• Course GitHub repository
  
• Course YouTube channel

Attendance policy

Students are expected to attend every class period.

Students on the Athens campus must attend class in-person.

If a special circumstance arise (illness, travel, etc.), student absence or remote attendance must be informed to instructors prior to that class period.

Attendance policy

Students are expected to attend every class period.

Students on the Tifton and Griffin campuses may attend class in-person on their campuses or remote using the zoom link information.

Student absence must be informed to instructors prior to that class period.

Attendance policy

Students are expected to attend every class period.

Per Board of Regents policy, I reserve the right to drop students from the class roll who miss more than 5 class periods. Such students will be given a WF grade.

Attendance policy

Technology and software requirements

Students will need to have access to:

• A computer 💻 (to install software, code along with instructors)
  
• A second screen 📺 (main screen to code along, second screen to watch class if not in person)

Survey

Please go to the link below and fill this survey:

https://forms.gle/M78MDXLrtXBVUHyt7

Getting ready for next class

To be ready for next class (Intro to R), please follow the link below and complete all tasks:

Lab 01 prep

If you have questions or issues, email me before class.

We will have limited time to troubleshoot technical problems during next period.